In recent years interest has been growing in testing for stochastic non-linearity in macroeconomic time series. There are several inference procedures available. But not much is known about their behaviour on real world small-sized settings. This paper surveys some of these tests. Their...

Various techniques of optimizing the multiple class cross-entropy error function to train single hidden layer neural network classifiers with softmax output transfer functions are investigated on a real-world multispectral pixel-by-pixel classification problem that is of fundamental importance...

This paper evaluates the classification accuracy of three neural network classifiers on a satellite image-based pattern classification problem. The neural network classifiers used include two types of the Multi-Layer-Perceptron (MLP) and the Radial Basis Function Network. A normal (conventional)...

This paper addresses the effect of liberalisation and transformation in Eastern Europe on international trade flows between specific West and East European countries belonging to the Rhine-Main-Danube area. The discussion is focused on volume and direction of trade effects using a simple, but...

The paper emphasises the importance of a research programme focused on developing and making widely available GIS relevant spatial analysis technology. It outlines generic criteria able to discriminate between GIS-relevant and GIS-irrelevant spatial analysis tools and outlines a list of six...

Artificial intelligence (Al) has received an explosion of interest during the last five years in various fields. There is no longer any question that expert systems and neural networks will be of central importance for developing the next generation of more intelligent geographic information...

This article outlines the general architecture of a knowledge based GISystem that has the potential to intelligently support decision making in a GIS environment. The efficient and effective integration of spatial data, spatial analytic procedures and models, procedural and declarative knowledge...

During the last thirty years there has been much research effort in regional science devoted to modelling interactions over geographic space. Theoretical approaches for studying these phenomena have been modified considerably. This paper suggests a 'new modelling approach, based upon a general...

The recent computerization of the Austrian Patent Office in the mid-1980s has made it possible now to analyse the patenting behaviour at the firm level over a certain time period. This makes patents an easily accessible, quantitative indicator of patented inventions and, more generally, a proxy...

Two alternative methodological approaches (the IPFP based and the intramax procedures) to the problem of pattern identification in spatial interaction data are compared and evaluated in this paper. After a general discussion of the major characteristics and shortcomings of these methodologies,...